May’s celebrated theoretical work of the 70’s contradicted the established paradigm by demonstrating that complexity leads to instability in biological systems. Here May’s random-matrix modelling ...

We study the supersymmetry generators Q, S on the 1-loop vectorless sector of N=4 Super Yang-Mills, by reduction to the plane-wave matrix model. Using a coherent basis in the su(2|2) sector, a ...

This is a preview. Log in through your library . Abstract In this paper, we develop an efficient algorithm to solve linear system Ax = b where the coefficient matrix A is k-almost normal. We propose ...

Solution samples with matrix concentrations above ∼0.1% generally present difficulties for analysis by inductively coupled plasma mass spectrometry (ICP-MS) because of cone clogging and matrix effects ...

Ripser++ utilizes the massive parallelism hidden in the computation of Vietoris-Rips persistence barcodes by taking mathematical and algorithmic oppurtunities we have identified. It can achieve up to ...

What is the minimal number of residue types required to form a structured protein? This question is important for understanding protein modeling and design. Recently, an experimental finding by Baker ...

Abstract: Bayesian linearized inversion (BLI) stands out as an exceptional stochastic inversion method in the realms of geophysics and remote sensing. It excels in estimating inversion results and ...

Abstract: In this paper, we present a new reduction algorithm. The main idea comes from showroom's discernibility matrix. Discernibility matrix only takes advantage of the difference of the condition ...

This repository contains Python scripts designed for the analysis of 2D truss structures and bending elements (frames) using the Direct Stiffness Matrix Method. The scripts calculate the displacements ...